106 citations · 310 across the 82 of their papers we have counts for
12 papers · 1 filter
Outage Probability and Rate for - Shadowed Fading in Interference Limited Scenario
Suman Kumar, Sheetal Kalyani
The - shadowed fading model is a very general fading model as it includes both - and - as special cases. In this work, we derive the expression for outage probabi…
An aggregating strategy for shifting experts in discrete sequence prediction
Vishnu Raj, Sheetal Kalyani
We study how we can adapt a predictor to a non-stationary environment with advises from multiple experts. We study the problem under complete feedback when the best expert changes…
Reinforcement learning techniques for Outer Loop Link Adaptation in 4G/5G systems
Saishankar Katri Pulliyakode, Sheetal Kalyani
Wireless systems perform rate adaptation to transmit at highest possible instantaneous rates. Rate adaptation has been increasingly granular over generations of wireless systems. T…
Analysis of Optimal Combining in Rician Fading with Co-channel Interference
Muralikrishnan Srinivasan, Sheetal Kalyani
Approximate Symbol error rate (SER), outage probability and rate expressions are derived for receive diversity system employing optimum combining when both the desired and the inte…
Spectrum Access In Cognitive Radio Using A Two Stage Reinforcement Learning Approach
Vishnu Raj, Irene Dias, Thulasi Tholeti +1
With the advent of the 5th generation of wireless standards and an increasing demand for higher throughput, methods to improve the spectral efficiency of wireless systems have beco…
Taming Non-stationary Bandits: A Bayesian Approach
Vishnu Raj, Sheetal Kalyani
We consider the multi armed bandit problem in non-stationary environments. Based on the Bayesian method, we propose a variant of Thompson Sampling which can be used in both rested…
Impact of Correlation between Interferers on Coverage Probability and rate in Cellular Systems
Suman Kumar, Sheetal Kalyani
When the user channel experiences Nakagami-m fading, the coverage probability expressions are theoretically compared for the following cases: (i). The N interferers are independent…
Signal and Noise Statistics Oblivious Sparse Reconstruction using OMP/OLS
Sreejith Kallummil, Sheetal Kalyani
Orthogonal matching pursuit (OMP) and orthogonal least squares (OLS) are widely used for sparse signal reconstruction in under-determined linear regression problems. The performanc…
Approximate Random Matrix Models for Generalized Fading MIMO Channels
Muralikrishnan Srinivasan, Sheetal Kalyani
Approximate random matrix models for and faded multiple input multiple output (MIMO) communication channels are derived in terms of a complex Wishart matrix. The propos…
Error Vector Magnitude Analysis in Generalized Fading with Co-Channel Interference
Sudharsan Parthasarathy, Suman Kumar, Radha Krishna Ganti +2
In this paper, we derive the data-aided Error Vector Magnitude (EVM) in an interference limited system when both the desired signal and interferers experience independent and non i…
Tuning Free Orthogonal Matching Pursuit
Sreejith Kallummil, Sheetal Kalyani
Orthogonal matching pursuit (OMP) is a widely used compressive sensing (CS) algorithm for recovering sparse signals in noisy linear regression models. The performance of OMP depend…
High SNR Consistent Compressive Sensing
Sreejith Kallummil, Sheetal Kalyani
High signal to noise ratio (SNR) consistency of model selection criteria in linear regression models has attracted a lot of attention recently. However, most of the existing litera…